Threat Forecasting book cover

Threat Forecasting

Leveraging Big Data for Predictive Analysis

Threat Forecasting discusses the dangers of relying on historical data, security incident reports and network analysis to predict future security breaches. Threat data visualization techniques and threat data simulation tools can help you identify threats and respond to them faster. Using the techniques covered in Threat Forecasting you will be able to gain security insight into unstructured big data use it to your advantage and reduce risk.

Drawing upon years of practical experience and using numerous examples and illustrative case studies John Pirc discusses:

  • The danger of using historic data as the basis for predicting future breaches

  • How to use security intelligence as a tool to develop threat forecasting techniques
  • How to use threat data visualization techniques and threat simulation tools
  • A proven methodology that can be used to create a full threat forecast analysis for any size enterprise network.

Audience

Infosec and IT Professionals, security analysts, data analysts, chief privacy officers, risk officers.

Paperback, 400 Pages

Published: July 2015

Imprint: Syngress

ISBN: 978-0-12-800006-9

Contents

  • 1. The Dangers of Historic Threat Reporting

    2. Threat Forecasting

    3. Security Intelligence

    4. Indicators of Interest

    5. Community and sharing

    6. Threat Data Visualization

    7. Threat Data Simulation

    8. Kill Chain Modeling

    9. Connecting the Dots Big Data & Predictive Analysis

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